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Barr Group's expert witnesses in machine learning and AI advise attorneys in active litigation.  All of our experts in artificial intelligence and related technologies have hands-on experience creating machine learning algorithms.  Barr Group experts have testified in high-profile bench and jury trials.

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Intelligent Systems

Machine learning algorithms and artificially intelligent (AI) systems are an emerging value creator across a wide range industries, with practical applications ranging from medical diagnostics to high-speed trading. In today's data-driven world, intelligent systems have the power to transform businesses, but their proper implementation is crucial to avoid potentially costly errors. Barr Group's team of expert software engineers, computer engineers, and computer scientists is intimately familiar with machine learning technologies including:

  • Machine vision / image recognition
  • Speech and facial recognition
  • Deep learning neural networks
  • Transformer models (e.g., BERT and GPT-3 / LLM)
  • Natural language processing (NLP)
  • Computer vision and autonomous systems
  • Knowledge representation and reasoning (expert systems)
  • Probabilistic inference and dynamic Bayesian networks

Barr Group's experts are familiar with all of the specialized processing platforms used for high-performance machine learning, such as GPU (Graphics Processing Unit) chips from Nvidia and other manufacturers, along with programming languages like Python, Java, C++, R, Julia, and Scala.  And our electrical and computer engineering experts are just as comfortable reviewing electronic circuits and ASIC designs, including in the Verilog and VHDL languages. They are also well-versed in handling diverse training datasets and conducting in-depth data analysis for machine learning applications.

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Expert Witness Services

Barr Group's artificial intelligence experts support plaintiffs and defendants in litigation in U.S. District Courts and State Courts, at the International Trade Commission (ITC), and before the Patent Trial and Appeal Board (PTAB) as well as in arbitration. Our services include:

  • Technical assistance with drafting of discovery requests
  • Software source code review and analysis
  • Source code comparisons for copyright and trade secret theft
  • Analysis of electronics and related design documents
  • Prior art review for patent invalidity
  • Reverse engineering, including disassembly of binary code
  • Expert reports, declarations, and witness statements
  • Testimony at deposition, oral hearings, and trials

Our experience with artificial intelligence and machine learning algorithms is extensive and includes source code analysis and expert testimony in patent and trade secrets litigation.

Barr Group has a demonstrated ability to quickly activate one or more code reviewers to match the size, scope, and complexity of any project.

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The following is a representative subset of Barr Group's experts who have experience designing and/or testifying about these technologies:

Artificial Intelligence Expert Witness List

The following is a representative subset of Barr Group's experts who have experience designing and/or testifying about these technologies:

Professor and consultant with thirty years of experience in computer vision and image and video processing as well as color engineering and control systems for print engines.
Professor of electrical and computer engineering with over twenty-five years of experience in materials science, systems engineering and design of microelectronics.
Professor of computer science with two decades of experience at the forefront of the analysis and processing of electronic documents and speech / voice.
Professor of electrical and computer engineering and expert in architectural paradigms and technologies for high-performance computing and distributed computing.
Professor of computer science and applied mathematics with expertise in cloud computing architectures for data-intensive and artificial intelligence applications.
Professor with unique expertise in JPEG image and MPEG video standards who conducts research in computer vision, pattern recognition, and machine learning.
Former professor with twenty five years of experience in machine learning for speech recognition and computer vision as well as in data centers and blockchain.
Software developer and professor with extensive experience designing/developing/deploying advanced multimedia on platforms including handheld devices.

Distinguished professor of computer science with expertise in electronic voting, artificial intelligence, digital libraries, and electronic payment and e-commerce systems.

Computer engineering professor and expert in renewable energy and smart grid technologies with twenty-five years of experience in industry and academia.